DATA IRIS

Data Iris

iris = read.csv("D:/iris.csv",header=TRUE)
head(iris)

##   Id SepalLengthCm SepalWidthCm PetalLengthCm PetalWidthCm     Species
## 1  1           5.1          3.5           1.4          0.2 Iris-setosa
## 2  2           4.9          3.0           1.4          0.2 Iris-setosa
## 3  3           4.7          3.2           1.3          0.2 Iris-setosa
## 4  4           4.6          3.1           1.5          0.2 Iris-setosa
## 5  5           5.0          3.6           1.4          0.2 Iris-setosa
## 6  6           5.4          3.9           1.7          0.4 Iris-setosa

summary(iris)

##        Id         SepalLengthCm    SepalWidthCm   PetalLengthCm  
##  Min.   :  1.00   Min.   :4.300   Min.   :2.000   Min.   :1.000  
##  1st Qu.: 38.25   1st Qu.:5.100   1st Qu.:2.800   1st Qu.:1.600  
##  Median : 75.50   Median :5.800   Median :3.000   Median :4.350  
##  Mean   : 75.50   Mean   :5.843   Mean   :3.054   Mean   :3.759  
##  3rd Qu.:112.75   3rd Qu.:6.400   3rd Qu.:3.300   3rd Qu.:5.100  
##  Max.   :150.00   Max.   :7.900   Max.   :4.400   Max.   :6.900  
##   PetalWidthCm     Species         
##  Min.   :0.100   Length:150        
##  1st Qu.:0.300   Class :character  
##  Median :1.300   Mode  :character  
##  Mean   :1.199                     
##  3rd Qu.:1.800                     
##  Max.   :2.500

MODUS

modus <- function(x){
  uniqx <- unique(x)
  uniqx[which.max(tabulate(match(x, uniqx)))]
}
modus(iris$SepalLengthCm)

## [1] 5

modus(iris$SepalWidthCm)

## [1] 3

modus(iris$PetalLengthCm)

## [1] 1.5

modus(iris$PetalWidthCm)

## [1] 0.2

Rata-rata Geometri

mean.geom <- function(x){
  exp(mean(log(x)))
}
mean.geom(iris$SepalLengthCm)

## [1] 5.78572

mean.geom(iris$SepalWidthCm)

## [1] 3.023582

mean.geom(iris$PetalLengthCm)

## [1] 3.239757

mean.geom(iris$PetalLengthCm)

## [1] 3.239757

Rata-rata Harmoni

mean.harm <- function(x){
  1/(mean(1/x))
}
mean.harm(iris$SepalLengthCm)

## [1] 5.728905

mean.harm(iris$SepalWidthCm)

## [1] 2.993137

mean.harm(iris$PetalLengthCm)

## [1] 2.696472

mean.harm(iris$PetalWidthCm)

## [1] 0.4866465

Nilai Skewness dan Kurtosis

library(e1071)
skewness(iris$SepalLengthCm)

## [1] 0.3086407

skewness(iris$SepalWidthCm)

## [1] 0.3274013

skewness(iris$PetalLengthCm)

## [1] -0.2689994

skewness(iris$PetalWidthCm)

## [1] -0.102906

kurtosis(iris$SepalLengthCm)

## [1] -0.6058125

kurtosis(iris$SepalWidthCm)

## [1] 0.1983681

kurtosis(iris$PetalLengthCm)

## [1] -1.416683

kurtosis(iris$PetalWidthCm)

## [1] -1.357368

Menampilkan Grafik

Diagram Kotak Garis

boxplot(iris$SepalLengthCm, main = "SepalLengthCm", xlab = "SepalLength (Cm)", col = "darkcyan")

boxplot(iris$SepalWidthCm, main = "SepalWidthCm", xlab = "SepalWidth (Cm)", col = "deeppink3")

boxplot(iris$PetalLengthCm, main = "PetalLengthCm", xlab = "PetalLength (Cm)", col = "tomato2")

boxplot(iris$PetalWidthCm, main = "PetalWidthCm", xlab = "PetalWidth (Cm)", col = "tan3")

Histogram

hist(iris$SepalLengthCm, main = "SepalLengthCm", xlab ="SepalLength (Cm)", col = "deepskyblue2")

hist(iris$SepalWidthCm, main = "SepalWidthCm", xlab = "SepalWidth (Cm)", col = "darkgoldenrod2")

hist(iris$PetalLengthCm, main = "PetalLengthCm", xlab = "PetalLength (Cm)", col = "mediumorchid3")

hist(iris$PetalWidthCm, main = "PetalWidthCm", xlab = "PetalWidth (Cm)", col = "maroon3")

Diagram Pencar

par(mfrow=c(2,2))
plot(iris$SepalLengthCm, main = "SepalLengthCm", xlab = "SepalLength (Cm)", col = "seagreen3")
plot(iris$SepalWidthCm, main = "SepalWidthCm", xlab = "SepalWidth (Cm)", col = "yellow2")
plot(iris$PetalLengthCm, main = "PetalLengthCm", xlab = "PetalLength (Cm)", col = "indianred3")
plot(iris$PetalWidthCm, main = "PetalWidthCm", xlab = "PetalWidth (Cm)", col = "royalblue3")

Diagram Batang

barplot(iris$SepalLengthCm, main = "SepalLengthCm", xlab = "SepalLength (Cm)", col="violetred2")

barplot(iris$SepalWidthCm, main = "SepalWidthCm", xlab = "SepalWidth (Cm)", col="cyan4")

barplot(iris$PetalLengthCm, main = "PetalLengthCm", xlab = "PetalLength (Cm)", col="tan1")

barplot(iris$PetalWidthCm, main = "PetalWidthCm", xlab = "PetalWidth (Cm)", col="slategray3")